clue

is a Data Source.

CLUE (formerly known as the Connectivity Map or CMap 2.0) is a comprehensive resource for connecting drugs, genes, and diseases through large-scale perturbational data. Built and maintained by the Broad Institute, CLUE provides access to over 1.3 million gene expression profiles from the LINCS L1000 assay, covering more than 42,000 perturbagens (drugs, genetic reagents, and other compounds) tested across multiple cell lines. The platform enables researchers to discover connections between diseases, drugs, and biological mechanisms through gene expression signatures.

Domains

drug discovery, genomics, biomedical, systems biology

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clue

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GitHub

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Details

CLUE

CLUE (Connectivity Map 2.0) is a next-generation platform for drug discovery and biological research that builds upon the original Connectivity Map project. Developed and maintained by the Broad Institute of MIT and Harvard, CLUE provides unprecedented access to large-scale perturbational gene expression data.

Overview

CLUE hosts the world’s largest collection of perturbational gene expression profiles, with over 1.3 million profiles generated using the LINCS L1000 high-throughput gene expression assay. The platform covers:

  • 42,000+ perturbagens: Including FDA-approved drugs, experimental compounds, genetic perturbations (shRNA, CRISPR), and other bioactive molecules
  • Multiple cell lines: Expression data across diverse cellular contexts
  • Comprehensive coverage: Systematic profiling of chemical and genetic perturbations

Key Features

Data Access

The CLUE platform provides free access to:

  • Raw and processed L1000 gene expression data
  • Pre-computed gene expression signatures
  • Perturbagen metadata and annotations
  • Cell line information

Discovery Tools

CLUE offers sophisticated tools for:

  • Signature matching: Find perturbagens that produce similar expression patterns
  • Target discovery: Identify potential mechanisms of action
  • Drug repurposing: Discover new therapeutic applications for existing drugs
  • Disease signature matching: Connect disease states with potential therapeutic interventions

Applications

CLUE enables researchers to:

  • Discover unexpected connections between drugs, genes, and diseases
  • Identify compounds that mimic or reverse disease signatures
  • Understand mechanisms of action for drugs and genetic perturbations
  • Prioritize drug candidates for development or repurposing
  • Explore systems-level effects of perturbations

Data Resources

CLUE provides multiple data access points through clue.io/data, including:

  • Interactive web-based query tools
  • Downloadable datasets
  • API access for programmatic queries
  • Pre-computed signature libraries

Relationship to Connectivity Map

CLUE represents the evolution and expansion of the original Connectivity Map (CMap) project. While the original CMap provided proof-of-concept with approximately 7,000 expression profiles, CLUE has scaled the approach by orders of magnitude, providing a much more comprehensive resource for connecting perturbational biology.

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Created: August 12, 2025 | Last modified: October 07, 2025